As　a　narrowband　communication　technology,　Long　Range　(LoRa)　contributes　to　the　long　development　of　Internet　of　Things　(IoT)　applications.　The　LoRa　gateway　plays　an　important　role　in　the　IoT　transport　layer,　and　security　and　efficiency　are　the　key　issues　of　current　research.　On　the　one　hand,　in　the　centralized　working　model　of　IoT　systems　built　by　traditional　LoRa　gateways,　all　the　data　generated　and　reported　by　end　devices　are　processed　and　stored　in　cloud　servers,　which　are　susceptible　to　security　issues　such　as　data　loss　and　data　falsification.　On　the　other　hand,　edge　computing,　as　an　innovative　approach　that　brings　data　processing　and　storage　closer　to　the　endpoints,　can　create　a　decentralized　security　infrastructure　for　LoRa　gateway　systems,　resulting　in　an　edge　intelligent　IoT　working　model.　Although　this　paradigm　delivers　unique　features　and　improved　quality　of　service　(QoS),　installing　IoT　applications　at　LoRa　gateways　with　limited　computing　and　memory　capabilities　presents　considerable　obstacles.　To　address　this　challenge,　an　edge　intelligent　LoRa　gateway　is　designed　and　implemented　in　this　paper.　Firstly,　we　developed　an　edge　intelligent　LoRa　gateway　prototype　on　an　FPGA-based　embedded　hardware　system.　Then,　we　proposed　Latency-Aware　Algorithm　(LAA)　can　greatly　improve　the　reliability　of　the　network　system　by　using　a　distributed　edge　computing　network　technology　that　can　achieve　maintenance　operations　such　as　detection,　repair,　and　replacement　of　failures　of　edge　nodes　in　the　network.　Finally,　many　experiments　were　conducted　to　evaluate　the　performance　of　the　proposed　edge-intelligent　LoRa　gateway.　The　results　indicate　that　the　proposed　edge　intelligent　LoRa　gateway　is　more　effective　in　latency-aware　in　IoT　applications,　while　greatly　ensuring　system　availability　and　IoT　network　reliability.